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Cognitive Radio (CR) Technology has emerged for the future of wireless communications, its key parameters of interest are frequency, power and modulation techniques. The Spectrum Sensing is an important task to determine the availability of the vacant channels. In Multicarrier Communication using Digital Signal Processing Techniques, Filter Bank Multi Carrier (FBMC) has an edge over other technologies...
In this paper, we introduce the impact of non-linear high-power amplifier (NL HPA) on the bit error rate (BER) and on the spectrum efficiency of multicarrier techniques. A comparison between two multicarrier transmission techniques based on cognitive radio (CR) is presented: the classical orthogonal frequency division multiplexing (OFDM), based on cyclic prefix (CP), and the filter bank-based multicarrier...
The current and future technologies for wireless communication, such as WiFi, WiMAX, LTE and DVB-T, using an OFDM signaling, choose a cognitive radio to solve the problem of scarcity of spectrum resources. One of the key issues is the large peak-to-average power ratio (PAPR) resulting in signal OFDM, what becomes, the performance of the transceiver is very sensitive to nonlinear distortions caused...
Spectrum sensing is an enabling technology for cognitive radios. Many sensing algorithms are proposed in the literature, but only a few real time implementation and analysis are reported. There are many challenges when we try to implement the spectrum sensing algorithm in real time. Fading and dynamic noise are major factors, which degrades the performance of sensing algorithm. Multi antenna technology...
This paper1 deals with spectrum sensing techniques used to efficient utilization of limited spectrum resource. The most used technique is the energy detector as it is the simplest one for real time implementation and performs well for high SNR. This paper is concerned with this well known method and introduces an enhanced energy detector, in order to enhance its performance in low SNR. The proposed...
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